IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v119y2017icp732-743.html
   My bibliography  Save this article

The integration based method for identifying the variation trend of fresh hydrogen consumption and optimal purification feed

Author

Listed:
  • Dai, Wang
  • Shen, Renjie
  • Zhang, Di
  • Liu, Guilian

Abstract

Hydrogen purifier is widely used in refinery. In the view of hydrogen network integration, the Purification Feed Purity (PFP) and Purification Feed Flow Rate (PFFR) influence each other and should be optimized simultaneously. Based on the hydrogen network integration, a graphical method is developed for identifying the feasible purification feed region, the optimal purification feed and the variation trend of the fresh hydrogen consumption. With the quantitative relation between the limiting PFP and limiting PFFR analyzed, a diagram is built to identify the limiting line and feasible region of the purification feed. Furthermore, the relationship among the optimal PFP, optimal PFFR and the fresh hydrogen consumption is derived, and a two-dimensional diagram is developed to identify the variation trend line of the optimal PFP, the saved fresh hydrogen (or Hydrogen Utility Savings, HUS) and the pinch point along PFFR, as well as that of the optimal PFFR along PFP. Based on this, the optimal purification feed can be identified, as well as the maximum HUS. A case is studied to illustrate the applicability of the proposed method.

Suggested Citation

  • Dai, Wang & Shen, Renjie & Zhang, Di & Liu, Guilian, 2017. "The integration based method for identifying the variation trend of fresh hydrogen consumption and optimal purification feed," Energy, Elsevier, vol. 119(C), pages 732-743.
    • Handle: RePEc:eee:energy:v:119:y:2017:i:c:p:732-743
    DOI: 10.1016/j.energy.2016.11.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421631636X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2016.11.031?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Umana, Blessing & Shoaib, Abeer & Zhang, Nan & Smith, Robin, 2014. "Integrating hydroprocessors in refinery hydrogen network optimisation," Applied Energy, Elsevier, vol. 133(C), pages 169-182.
    2. Wang, Yufei & Wu, Sidong & Feng, Xiao & Deng, Chun, 2015. "An exergy-based approach for hydrogen network integration," Energy, Elsevier, vol. 86(C), pages 514-524.
    3. Jia, Nan & Zhang, Nan, 2011. "Multi-component optimisation for refinery hydrogen networks," Energy, Elsevier, vol. 36(8), pages 4663-4670.
    4. Deng, Chun & Zhou, Yuhang & Chen, Cheng-Liang & Feng, Xiao, 2015. "Systematic approach for targeting interplant hydrogen networks," Energy, Elsevier, vol. 90(P1), pages 68-88.
    5. Kumar, A. & Gautami, G. & Khanam, S., 2010. "Hydrogen distribution in the refinery using mathematical modeling," Energy, Elsevier, vol. 35(9), pages 3763-3772.
    6. Yang, Minbo & Feng, Xiao & Chu, Khim Hoong & Liu, Guilian, 2014. "Graphical method for identifying the optimal purification process of hydrogen systems," Energy, Elsevier, vol. 73(C), pages 829-837.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Xuepeng & Liu, Jian & Deng, Chun & Lee, Jui-Yuan & Tan, Raymond R., 2020. "Synthesis of refinery hydrogen network integrated with hydrogen turbines for power recovery," Energy, Elsevier, vol. 201(C).
    2. Wang, Yufei & Wu, Sidong & Feng, Xiao & Deng, Chun, 2015. "An exergy-based approach for hydrogen network integration," Energy, Elsevier, vol. 86(C), pages 514-524.
    3. Deng, Chun & Zhou, Yuhang & Chen, Cheng-Liang & Feng, Xiao, 2015. "Systematic approach for targeting interplant hydrogen networks," Energy, Elsevier, vol. 90(P1), pages 68-88.
    4. Wu, Sidong & Yu, Zemiao & Feng, Xiao & Liu, Guilian & Deng, Chun & Chu, Khim Hoong, 2013. "Optimization of refinery hydrogen distribution systems considering the number of compressors," Energy, Elsevier, vol. 62(C), pages 185-195.
    5. Umana, Blessing & Shoaib, Abeer & Zhang, Nan & Smith, Robin, 2014. "Integrating hydroprocessors in refinery hydrogen network optimisation," Applied Energy, Elsevier, vol. 133(C), pages 169-182.
    6. Zhang, Qiao & Yang, Sen & Feng, Xiao, 2021. "Thermodynamic principle based work exchanger network integration for cost-effective refinery hydrogen networks," Energy, Elsevier, vol. 230(C).
    7. Hwangbo, Soonho & Lee, In-Beum & Han, Jeehoon, 2016. "Multi-period stochastic mathematical model for the optimal design of integrated utility and hydrogen supply network under uncertainty in raw material prices," Energy, Elsevier, vol. 114(C), pages 418-430.
    8. Shukla, Gaurav & Chaturvedi, Nitin Dutt, 2023. "Targeting compression work in hydrogen allocation network with parametric uncertainties," Energy, Elsevier, vol. 262(PA).
    9. Johansson, Daniella & Franck, Per-Åke & Berntsson, Thore, 2012. "Hydrogen production from biomass gasification in the oil refining industry – A system analysis," Energy, Elsevier, vol. 38(1), pages 212-227.
    10. Yang, Minbo & Feng, Xiao & Chu, Khim Hoong & Liu, Guilian, 2014. "Graphical method for identifying the optimal purification process of hydrogen systems," Energy, Elsevier, vol. 73(C), pages 829-837.
    11. Szabina Tomasek & Norbert Miskolczi, 2024. "Co-Pyrolysis of Sewage Sludge, Two-Component Special Municipal Waste and Plastic Waste," Energies, MDPI, vol. 17(15), pages 1-15, July.
    12. Jia, Nan & Zhang, Nan, 2011. "Multi-component optimisation for refinery hydrogen networks," Energy, Elsevier, vol. 36(8), pages 4663-4670.
    13. Deng, Chun & Zhu, Meiqian & Zhou, Yuhang & Feng, Xiao, 2018. "Novel conceptual methodology for hydrogen network design with minimum compression work," Energy, Elsevier, vol. 159(C), pages 203-215.
    14. Bandyopadhyay, Rajarshi & Alkilde, Ole Frej & Menjon, Ian & Meyland, Lene Have & Sahlertz, Iggy Vincent, 2019. "Statistical analysis of variation of economic parameters affecting different configurations of diesel hydrotreating unit," Energy, Elsevier, vol. 183(C), pages 702-715.
    15. Hessam Golmohamadi & Amin Asadi, 2020. "Integration of Joint Power-Heat Flexibility of Oil Refinery Industries to Uncertain Energy Markets," Energies, MDPI, vol. 13(18), pages 1-25, September.
    16. Chen, Shizhao & Shen, Feifei & Zhong, Weimin & Peng, Xin & Du, Wei, 2024. "Synchronous adjustment framework for the integrated hydrogen network and production system: A concurrent optimization strategy of the system based on multi-model ensemble method," Applied Energy, Elsevier, vol. 360(C).
    17. Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Walmsley, Timothy G. & Jia, Xuexiu, 2018. "New directions in the implementation of Pinch Methodology (PM)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 439-468.
    18. Napp, T.A. & Gambhir, A. & Hills, T.P. & Florin, N. & Fennell, P.S, 2014. "A review of the technologies, economics and policy instruments for decarbonising energy-intensive manufacturing industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 616-640.
    19. Priya, G.S. Krishna & Bandyopadhyay, Santanu, 2017. "Multiple objectives Pinch Analysis," Resources, Conservation & Recycling, Elsevier, vol. 119(C), pages 128-141.
    20. Ozalp, Nesrin & Ibrik, Karim & Al-Meer, Mariam, 2013. "Kinetics and heat transfer analysis of carbon catalyzed solar cracking process," Energy, Elsevier, vol. 55(C), pages 74-81.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:119:y:2017:i:c:p:732-743. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.